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cs.LG2025
SOSAE: Self-Organizing Sparse AutoEncoder
Sarthak Ketanbhai Modi, Zi Pong Lim, Yushi Cao +3
The process of tuning the size of the hidden layers for autoencoders has the benefit of providing optimally compressed representations for the input data. However, such hyper-param…
cs.CV2025
Towards Universal & Efficient Model Compression via Exponential Torque Pruning
Sarthak Ketanbhai Modi, Zi Pong Lim, Shourya Kuchhal +5
The rapid growth in complexity and size of modern deep neural networks (DNNs) has increased challenges related to computational costs and memory usage, spurring a growing interest…
cs.CV2025
Towards Calibration Enhanced Network by Inverse Adversarial Attack
Yupeng Cheng, Zi Pong Lim, Sarthak Ketanbhai Modi +3
Test automation has become increasingly important as the complexity of both design and content in Human Machine Interface (HMI) software continues to grow. Current standard practic…